Skill UI

This skill provides a comprehensive audit framework for analyzing judicial and extrajudicial auction notices in Brazil. It systematically guides users through identifying hidden risks, dangerous clauses, property debts (IPTU, condo fees), occupancy status, and verifying the true valuation, ensuring a safer and more informed bidding process for real estate investors.

Provides senior-level guidance on Brazilian judicial and extrajudicial property auctions, combining legal, appraisal, market, and risk modules to recommend bidding strategies and investor actions.

Audits Brazilian property auctions by scoring 36-point legal, financial, operational risks, running four-scenario stress tests, and weighing ROI by risk to recommend whether to bid.

A comprehensive technical module covering foundational deep learning principles and cutting-edge computer vision architectures, drawing from Yann LeCun's research. Topics include CNN fundamentals, backpropagation theory, and advanced self-supervised learning (SSL) models such as SimCLR, MAE, and the modern Joint Embedding Predictive Architecture (JEPA). Provides detailed theoretical explanations and complete PyTorch code for implementation.

A comprehensive framework designed to help users craft messages, taglines, and value propositions that are not only understood but also remembered and actionable. It utilizes the SUCCESs model (Simple, Unexpected, Concrete, Credible, Emotional, Stories) to elevate ordinary communication into high-impact, sticky content. Ideal for copywriters, marketers, and product managers.

This tool audits and validates hreflang tags for international SEO. It checks language and region codes, ensures bidirectional links, and verifies canonical URL alignment. It helps detect common mistakes like missing self-referencing tags or invalid ISO codes, ensuring proper multi-language site indexing and search visibility.

Generates structured RFC documents to propose and decide on major technical or process changes, guiding stakeholders through options, criteria, and approvals before execution.

Analyzes a website's accessibility to major AI crawlers (e.g., GPTBot, ClaudeBot). It checks robots.txt, meta tags, and HTTP headers to generate a complete access map. This helps users optimize their site structure to maximize visibility in AI-generated search results while maintaining appropriate control over data usage.

A comprehensive guide for defining, tracking, and interpreting product metrics across all stages—from discovery to maturity. This skill covers selecting metric frameworks (AARRR, HEART), defining stage-appropriate KPIs, designing multi-layered dashboards, and executing deep analyses like cohort and retention modeling. It helps teams transform raw data into actionable product strategies, moving beyond vanity metrics.

Validates SKILL.md files against the agentskills specification and Anthropic best practices, catching structure, semantic, naming, and quality issues in a single read-only pass before publishing or debugging skills.

Documented best practices for building applications with Anthropic Claude via Python and TypeScript SDKs, covering messaging, streaming, tools, vision, reasoning, caching, batching, and Agent workflows to optimize prompts, tokens, and cost.

A comprehensive guide to writing reliable and maintainable tests for Kotlin projects. This skill covers modern testing patterns using Kotest for various spec styles (FunSpec, BehaviorSpec), MockK for dependency mocking, and enforces TDD principles (RED/GREEN/REFACTOR). Learn how to implement unit tests, property-based testing, and ensure high code coverage with Kover.